Abstract 174: Headache Presentation in Childhood Arterial Ischemic Stroke Differs by Arteriopathy Subtype
Bibliographic record
Abstract
Introduction: Headache is common at onset of arterial ischemic stroke (AIS), with rates between 10-50%. Adult studies suggest that headache prevalence relates to stroke etiology, with highest rates observed in dissection. We hypothesized that children with arteriopathy-related stroke may have higher rates of headache than those without. Methods: Children (29 days -18 years) with AIS enrolled in the prospective, international Vascular Effects of Infection in Pediatric Stroke (VIPS) study were analyzed for presence of headache at stroke ictus. Cases were subjected to a rigorous, centralized process for diagnostic confirmation of AIS and radiographic classification of arteriopathy as definite, possible or absent. Site investigators abstracted data from medical records regarding stroke presentation details. Headache at stroke ictus was classified as present, absent or unclear. Results: We included all 355 VIPS cases in this secondary analysis. Headache was uncommon in subjects < 3 yo (5/90, 6%) but was present in nearly half of those ≥ 3 yo (108/265, 46%). Excluding those with an unclear headache presentation (n=31), there was no significant difference in headache at stroke ictus in children ≥ 3 yo with definite (46/92, 50%), possible (15/24, 63%) or absent (60/118, 51%) arteriopathy (p=0.53). However, in those with definite arteriopathy, a difference was found in sub-classification, with headache prevalence highest in dissection and transient cerebral arteriopathy of childhood (TCA) (70% each) (p>0.001). Acute headache was uncommon in children with moyamoya (12%). Conclusion: No difference was found in headache prevalence in children with and without definite or possible arteriopathy. However, in children with definite arteriopathy, headache was more common in TCA and dissection. This may reflect a higher degree of nociceptive afferent activation in these childhood AIS subtypes and may provide clues to underlying pathophysiologic mechanisms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".